code: def metric(self, l):
      return l[0] / l[1]
  
file_path: h2o-3/h2o-py/tests/testdir_algos/isotonic/pyunit_isotonic_custom_metric.py
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
  from h2o.estimators.isotonicregression import H2OIsotonicRegressionEstimator
label_desc: Use image node_id 3 for calling the CustomLoglossFunc obj's underlying member method code with example usage: obj.metric(l) and returns: unknown